Founder @ Krv.
Former AIDOS Lab member. PhD in Mathematics from TUM.
- Clinical AI Validation: Stress-testing ML models for production readiness in healthcare—finding failure modes, generating evidence for FDA compliance
- Topological & Geometric Deep Learning: Using discrete Ricci curvature, persistent homology, and geometric methods to understand data structure and improve model robustness
- Graph Neural Networks & Knowledge Graphs: Leveraging network structure to solve problems in healthcare, climate, and ML evaluation
- Topos: Code quality evaluations for agent-written programs.
- Pulsar: Blazing-fast implementation of Thema in Rust (Nature Energy 2025).
- Rings: Relevant Information in Node Features and Graph Structure (ICML 2025).
- Scott: Synthesizing curvature operations and topological tools (NeurIPS 2023).
- Phil: "Phil" your data! Multiverse imputation library for tabular data.
- Trailed: Topological regularization and integrity learning for EHR data.
- 🏄 Surfer
- 🎿 Skiing & Snowboarding
- 🎻 Cello player
- 🚴 Biking in Bavaria
- 🌍 Travel explorer
- 👐 Advocate for open science & reproducible ML
- 🌐 jeremy-wayland.me
- 🏢 krv.ai